Data analysis for the top 20 scorers

The data analysis on football players focuses on the performance of the top scorers, highlighting those who have distinguished themselves by the number of goals scored. Initially, the data was grouped by player name, summing the goals scored by each player. This operation allowed for the identification of the players with the highest number of goals.

Subsequently, the top 20 players who scored the most goals were selected, ordering them in descending order by the number of goals. This selection led to the creation of a table listing the players’ names and their respective goals scored, providing a clear overview of the top scorers.

To effectively visualize the data, a horizontal bar chart was created using Plotly Express. This chart shows the top 20 players with the highest number of goals, clearly highlighting those at the top of the leaderboard. The chart’s title, “Top 20 players with highest goals scored,” and the labels provide context and clarity, making the presented information immediately comprehensible.

The resulting visualization not only celebrates the individual performances of the players but also serves as a useful analytical tool for coaches, analysts, and football enthusiasts. It allows for a better understanding of who the most prolific players are and how they compare to each other.

Data analysis of top 30 players with highest red cards

The data analysis on football players focuses on those who have received the highest number of red cards, highlighting those who have distinguished themselves in terms of discipline on the field. Initially, the data was grouped by player name, summing the red cards received by each player. This operation allowed for the identification of the players with the most red cards.

Subsequently, the top 30 players who received the most red cards were selected, ordering them in descending order by the number of red cards. This selection led to the creation of a table listing the players’ names and their respective red cards received, providing a clear overview of the most sanctioned players.

To effectively visualize the data, a scatter plot was created using Plotly Express. This chart shows the top 30 players with the highest number of red cards, clearly highlighting those at the top of the leaderboard. The chart’s title, “Top 30 players with highest red cards,” and the labels provide context and clarity, making the presented information immediately comprehensible.

The resulting visualization not only highlights the individual performances of the players in terms of discipline but also serves as a useful analytical tool for coaches, analysts, and football enthusiasts. It allows for a better understanding of which players tend to be more undisciplined and how they compare to each other.

Top 30 players with highest yellow cards

The data analysis on football players focuses on those who have received the highest number of yellow cards, highlighting those who have distinguished themselves in terms of discipline on the field. Initially, the data was grouped by player name, summing the yellow cards received by each player. This operation allowed for the identification of the players with the most yellow cards.

Subsequently, the top 30 players who received the most yellow cards were selected, ordering them in descending order by the number of yellow cards. This selection led to the creation of a table listing the players’ names and their respective yellow cards received, providing a clear overview of the most sanctioned players.

To effectively visualize the data, a scatter plot was created using Plotly Express. This chart shows the top 30 players with the highest number of yellow cards, clearly highlighting those at the top of the leaderboard. The chart’s title, “Top 30 players with highest yellow cards,” and the labels provide context and clarity, making the presented information immediately comprehensible.

The resulting visualization not only highlights the individual performances of the players in terms of discipline but also serves as a useful analytical tool for coaches, analysts, and football enthusiasts. It allows for a better understanding of which players tend to be more undisciplined and how they compare to each other.

Data analysis for the top scorer performance overview analysis goals , red cards and yellow cards

The data analysis on football players focuses on the overall performance of players, including goals scored, red cards, and yellow cards. Initially, the data was grouped by player name, summing the goals scored, red cards, and yellow cards received by each player. This operation allowed for the identification of the top-performing players as well as those with the most disciplinary issues.

The top scorer was identified as the player with the highest number of goals scored. The data was then organized into a DataFrame that includes goals, red cards, and yellow cards for each player. For better visualization, the DataFrame was sorted in descending order by the number of goals scored.

To visualize the data, an interactive chart was created using Plotly. This chart includes bars for goals scored, as well as bubble markers for red and yellow cards. The chart clearly displays players’ performances, highlighting who scored the most and who received the most disciplinary actions.

The chart was further enhanced with labels and a template to improve readability and interactivity, making the presented information immediately comprehensible. This visualization serves as a useful tool for coaches, analysts, and football enthusiasts, providing a clear overview of players’ performances and discipline.